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sap data warehose SAP HANA’s Big Data Usher SAP into the Intelligent BPM Elite? SAP recently announced a new intelligent business operations bundle that aims to help organizations infuse big data insights in real time into their processes to work smarter and improve responsiveness to threats and opportunities. The real value of big data only comes when one can embed its insights into business processes and use these insights to make better decisions. Business users all too often lack full visibility into end-to-end

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support.

Documents related to »sap data warehose

Ardent Software has announced the addition of SAP extraction and load capabilities to their DataStage product, increasing their strength in the Extract/Transform/Load tool market. Due to the prevalence of SAP in the Enterprise Resource Planning space, this addition will provide a competitive advantage over some of the other major ETL vendors such as Sagent and Computer Associates.

Yesterday in San Francisco, SAP held a press conference to make two (perhaps three) major announcements about its strategy for the data management and mobility spaces. These announcements unveiled big-time movement in two major IT areas: data management and mobility.
SAP HANA and Sybase
At the press conference, Vishal Sikka, member of the SAP Executive Board for Technology and

The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

SAP has announced SAP Enterprise Support value maps. The value maps are delivered via the SAP Enterprise Support Academy program, a dedicated portal with flexible entry points and aggregated views on learning assets and services content combining training, support, and deployment of best practices. They are an intelligent selection mechanism to help customers find the right services and tools. sap data warehoseRead More

SAP recently announced the general availability of the 9.1 versions of the
SAP Transportation Management (SAP TM) and SAP Extended Warehouse Management (SAP EWM) applications in its continuous pursuit of innovating its supply chain execution (SCE) platform. This release is heralded as the next step in SAP’s integrated SCE platform, enabling its customers to achieve efficient logistics and order fulfillment processes.

Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.